SOTAVerified

Image Generation

Image Generation (synthesis) is the task of generating new images from an existing dataset.

  • Unconditional generation refers to generating samples unconditionally from the dataset, i.e. $p(y)$
  • Conditional image generation (subtask) refers to generating samples conditionally from the dataset, based on a label, i.e. $p(y|x)$.

In this section, you can find state-of-the-art leaderboards for unconditional generation. For conditional generation, and other types of image generations, refer to the subtasks.

( Image credit: StyleGAN )

Papers

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Showing 6451–6500 of 6689 papers

TitleStatusHype
Turbo Learning for Captionbot and Drawingbot—0
XOGAN: One-to-Many Unsupervised Image-to-Image Translation—0
Normal Similarity Network for Generative Modelling—0
Avatar-Net: Multi-scale Zero-shot Style Transfer by Feature DecorationCode0
SPG-Net: Segmentation Prediction and Guidance Network for Image InpaintingCode0
High-resolution medical image synthesis using progressively grown generative adversarial networks—0
ReGAN: RE[LAX|BAR|INFORCE] based Sequence Generation using GANs—0
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation—0
Unpaired Multi-Domain Image Generation via Regularized Conditional GANsCode0
Fast-converging Conditional Generative Adversarial Networks for Image Synthesis—0
Transferring GANs: generating images from limited dataCode0
MC-GAN: Multi-conditional Generative Adversarial Network for Image SynthesisCode0
Text to Image Synthesis Using Generative Adversarial Networks—0
Polish Corpus of Annotated Descriptions of Images—0
WikiArt Emotions: An Annotated Dataset of Emotions Evoked by Art—0
Semi-parametric Image SynthesisCode0
Adversarial Training of Variational Auto-encoders for High Fidelity Image GenerationCode0
Synthesizing Images of Humans in Unseen PosesCode0
Cross-Domain Adversarial Auto-EncoderCode0
A Hybrid Model for Identity Obfuscation by Face Replacement—0
A Variational U-Net for Conditional Appearance and Shape GenerationCode0
Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI—0
MelanoGANs: High Resolution Skin Lesion Synthesis with GANs—0
Nonlinear 3D Face Morphable ModelCode0
View Extrapolation of Human Body from a Single Image—0
Projection image-to-image translation in hybrid X-ray/MR imaging—0
Ranking CGANs: Subjective Control over Semantic Image Attributes—0
Modular Generative Adversarial NetworksCode0
Language Modeling with Generative AdversarialNetworks—0
DeSIGN: Design Inspiration from Generative NetworksCode0
Correlated discrete data generation using adversarial training—0
Guide Me: Interacting with Deep Networks—0
3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh Generation—0
Image Generation and Translation with Disentangled Representations—0
Dist-GAN: An Improved GAN using Distance ConstraintsCode0
BSD-GAN: Branched Generative Adversarial Network for Scale-Disentangled Representation Learning and Image SynthesisCode0
VGAN-Based Image Representation Learning for Privacy-Preserving Facial Expression Recognition—0
Cross-modality image synthesis from unpaired data using CycleGAN: Effects of gradient consistency loss and training data size—0
Line Artist: A Multiple Style Sketch to Painting Synthesis Scheme—0
Improving GANs Using Optimal TransportCode0
An Introduction to Image Synthesis with Generative Adversarial Nets—0
Medical Image Synthesis with Deep Convolutional Adversarial NetworksCode0
High-Dynamic-Range Imaging for Cloud SegmentationCode0
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the WildCode0
Translating and Segmenting Multimodal Medical Volumes with Cycle- and Shape-Consistency Generative Adversarial Network—0
Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial NetworkCode0
Constrained Image Generation Using Binarized Neural Networks with Decision Procedures—0
Interactive Image Manipulation with Natural Language Instruction Commands—0
ChatPainter: Improving Text to Image Generation using Dialogue—0
MagnifyMe: Aiding Cross Resolution Face Recognition via Identity Aware Synthesis—0
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All datasetsImageNet 256x256CIFAR-10ImageNet 64x64ImageNet 512x512FFHQ 256 x 256CelebA 64x64ImageNet 32x32LSUN Bedroom 256 x 256STL-10LSUN Churches 256 x 256ImageNet 128x128FFHQ 1024 x 1024

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Improved DDPMFID12.3—Unverified
2ADMFID11.84—Unverified
3BigGAN-deepFID8.1—Unverified
4Polarity-BigGANFID6.82—Unverified
5VQGAN+Transformer (k=mixed, p=1.0, a=0.005)FID6.59—Unverified
6MaskGITFID6.18—Unverified
7VQGAN+Transformer (k=600, p=1.0, a=0.05)FID5.2—Unverified
8CDMFID4.88—Unverified
9ADM-GFID4.59—Unverified
10RINFID4.51—Unverified
#ModelMetricClaimedVerifiedStatus
1PresGANFID52.2—Unverified
2RESFLOWFID48.29—Unverified
3Residual FlowFID46.37—Unverified
4GLF+perceptual loss (ours)FID44.6—Unverified
5ProdPoly no activation functionsFID40.45—Unverified
6ProdPoly no activation functionsFID36.77—Unverified
7ACGANFID35.47—Unverified
8DenseFlow-74-10FID34.9—Unverified
9NVAE w/ flowFID32.53—Unverified
10QSNGANFID31.97—Unverified
#ModelMetricClaimedVerifiedStatus
1GLIDE + CLSFID30.87—Unverified
2GLIDE + CLIPFID30.46—Unverified
3GLIDE + CLS-FREEFID29.22—Unverified
4GLIDE + CLIP + CLS + CLS-FREEFID29.18—Unverified
5PGMGANFID21.73—Unverified
6CLR-GANFID20.27—Unverified
7FMFID14.45—Unverified
8CT (Direct Generation, NFE=1)FID13—Unverified
9CT (Direct Generation, NFE=2)FID11.1—Unverified
10GLIDE +CLSKID7.95—Unverified